
What happened
HiddenLayer, an Austin-based AI security startup, raised $100 million in a Series B round led by Delta-v Capital, with participation from Ten Eleven Ventures, Morgan Stanley, Microsoft's M12, Booz Allen Hamilton, and others. The company makes tools to protect AI models, agents, and workflows from adversarial attacks, and its annual recurring revenue grew more than 10x over the past year, now in the "tens of millions" of dollars.
Why it matters
Gartner estimates companies will spend $2.83 billion this year on securing AI tools, 83% more than 2025, and expects spending to reach nearly $4.78 billion next year. HiddenLayer has extended its products—discovery, runtime protection, attack simulation, and supply chain security—to address prompt injection, agent manipulation, and malicious tool use, with runtime security becoming a priority as AI deployments grow common.
What to watch
HiddenLayer plans to use the new funds for sales and distribution, expand engineering and research, and enter Europe and EMEA. The company also faces potential competition from large cybersecurity firms like Cisco, Palo Alto Networks, and Check Point, which may prefer to buy rather than build similar tech, and startups like Noma and Zenity have each raised over $100 million in adjacent areas.
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HiddenLayer's fundraising success underscores a broader shift in the cybersecurity market. Three years ago, when the startup raised its $50 million Series A, the big question was whether AI threats would materialize enough to create a market. Now, security companies are scrambling to build products that monitor AI agents and their tools, and Gartner predicts spending on AI security will reach $2.83 billion this year, an 83% jump from 2025, and nearly $4.78 billion next year. This rapid growth reflects that the risk of agents going haywire during production is real, even if headlines about exploits are rare. HiddenLayer's ability to grow revenue over 10x and secure new funding indicates it has taken advantage of this shift, particularly by extending its existing products—discovery, runtime protection, attack simulation, and supply chain security—to address new threats like prompt injection and agent manipulation. The company's focus on runtime security, akin to endpoint detection and response for AI, highlights the increasing priority of protecting AI deployments in production. However, the competitive landscape is heating up. Large cybersecurity firms like Cisco, Palo Alto Networks, and Check Point often prefer to buy rather than build, and startups like Noma and Zenity have each raised over $100 million to tackle adjacent areas. HiddenLayer's CEO acknowledges that some of its products could be bundled into larger platforms, but he expects AI infrastructure to evolve toward governance features, leaving room for specialized security tools. The company now aims to scale vertically alongside AI and eventually expand horizontally into other cybersecurity areas that depend on AI, but it must first prove it can sustain its head start as the industry catches up.
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